However, HMDs are prone to certain issues, and while that shouldn’t detract us from embracing them, we should be careful to do it right this time. The last thing the VR field needs right now is a viral YouTube video along the lines of “Oh, an Oculus Rift! Cool! Let me try it on… Wow, that’s awesoBLEEAAARRGHHH.”

To back up a little: when HMDs became a thing in the 80s, they tended to induce dizziness and nausea in viewers, after a relatively short time of using them. Interestingly, HMDs had generally worse effects than other types of immersive display environments such as CAVEs. The basic theory of simulation sickness is based on virtual motion, and does not account for this difference.

The commonly stated explanation for this difference is display lag. In an HMD, the screens move with the viewer’s head, and any delay will cause the virtual world to move along with the viewer until the display system catches up. Imagine wearing an HMD and quickly turning your head to the side. Say it takes 30ms total until this motion is noticed by the head tracking system, the application updates its internal state, renders the new state, and refreshes the HMD’s screens. During this interval, the world will turn with you, and it will snap back to its original orientation once the delay time has passed. The real world does not behave like that, and because HMD-based graphics tap deeply into our brain’s visual system, this is very disorienting and adds to the discomfort. In a CAVE, on the other hand, the screens do not move with the viewer. Delay will still cause a disturbance in the projection of the virtual world, as the actual viewer position will not match the virtual one, but because screens are large and relatively far away, this will be barely noticeable. So far, so good.

Alas, there is an additional, often overlooked, factor — display calibration. Any immersive graphics system, HMD or CAVE or else, needs to exactly replicate how virtual objects are projected onto the system’s real screens, and then seen by the user (how exactly that works is a topic for another post). The bottom line is that the graphics software needs to know the absolute positions and orientations of all screens, and the absolute positions of the viewer’s eyes. Determining this is the job of head tracking and system calibration. But in an HMD, unlike in a CAVE, the tolerances for calibration are very low. The screens are very small and very close to the viewer’s eyes, which doesn’t leave much room for error (see Figure 1). Even worse, there is no way to precisely don an HMD short of putting screws into one’s skull; every time you put it on, it sits slightly differently. And that means any pre-configured projection parameters will not match reality.

Figure 1: Diagram of a hypothetical HMD for calibration purposes. The HMD consists of small real screen mounted directly in front of the viewer’s eyes, and uses optics to create larger virtual screens at a longer distance away to allow users to properly focus on those screens. For proper calibration, graphics software needs to know the precise positions of the viewer’s pupils and the exact positions and sizes of the virtual screens, in some coordinate system. Head tracking will provide the mapping from this viewer-attached coordinate system to the world coordinate system to allow users to look and walk around.

These mismatches have several effects. For one, imagine that a viewer wears an HMD slightly askew, so that the two screens have different vertical positions in front of their respective eyes. If the software does not account for that, the two stereo images will be vertically displaced, something that does not happen in real life. The viewer’s eyes will make up for it, up to a point, by moving up/down independently, but that is an unnatural motion and causes eye strain. It’s the same effect as watching a 3D movie in a theater while not holding one’s head level — it will hurt later.

Another, more subtle, effect is that in a miscalibrated display system the virtual world does not behave as the real world would. Do a simple experiment: fire up some first-person video game that allows view configuration, such as Doom3, and set a high field of view. Then rotate the view and observe. The virtual world will display a strong distortion effect, meaning that the sizes of objects, and their internal angles, change as the viewpoint changes. This is an extreme example, but even slight discrepancies are subconsciously unsettling, because our visual system is very good at detecting if something is not right with the world, and it tells us that by making us sick.

Even in non-immersive 3D graphics, a too large discrepancy between real field of view (how large the screen looms in our visual field) and programmatic field-of-view is known to cause motion sickness, and immersive 3D graphics with the same issue will be much worse. FOV discrepancy is only one symptom of miscalibration, but it’s the one that’s easiest to demonstrate; the others are more subtle (but that’s a topic for another post). In the end, miscalibration is a nasty problem because it is subtle, very hard to correct, and causes significant ill effects.

I noticed these things when I started experimenting with my own HMDs a while ago (I have an eMagin Z800 3DVisor and a Sony HMZ-T1). I experimented with rapid motions, but those didn’t really make me dizzy. I did notice, however, that the world didn’t seem solid, but as if it was made from jelly. I expected that, not having done proper calibration yet, so I used an interactive calibration utility to set up the system just so. After that, the world seemed stable, and interestingly I didn’t notice any more issues from lag. Not having done any further experiments, my hunch is that miscalibration is actually a bigger problem than lag. (Disclosure: while I was using a low-latency Intersense IS-900 tracking system, the computer running the show was fairly old, and the Quake3 renderer had no particular performance tweaking, so I estimated total system delay around 30ms).

So what’s the take-home message from this wall of text? If we want HMDs to succeed, we need to treat them properly in our graphics software. We need to use proper projection models instead of the standard camera model (but that’s a topic for another post), and not simply apply ad-hoc stereo models such as toe-in etc. (but that’s a topic for another post). It might work for a demo, but it won’t be pretty, and it will make our users sick. Instead, we need to know exactly how the HMD is laid out internally (screen placement and size, effects from the optical system in front of the screens, lens distortions, etc.), and, just as importantly, we need to know exactly where the viewer’s eyes are with respect to the screens (see Figure 1). This last one is the hard part. Maybe a future perfect HMD will contain one pair of stereo cameras per screen that will accurately track the viewer’s pupils and allow the graphics software to set up the projection parameters correctly, no matter how the HMD is worn and how the viewer moves. But until then, we need to come up with a practical approach, and we need to find simple methods to calibrate HMDs on the fly, and teach our users how to use those methods.

Well, and, of course, we mustn’t forget about minimizing lag, either. That would be too easy.

Oh, and by the way, want to get a quick glimpse of just how immersive the Oculus Rift will be (going by current specs)? If your monitor is X inches wide, put your eye X/2 inches in front of the monitor’s center — that’s about what it will look like. If you want to play a first-person game from that viewpoint and have it look right, set the horizontal field of view to 90 degrees.